Multi-Scale And Token Mergence: Make Your ViT More Efficient

Since its inception, Vision Transformer (ViT) has emerged as a prevalent model in the computer vision domain. Nonetheless, the multi-head self-attention (MHSA) mechanism in ViT is computationally expensive due to its calculation of relationships among all tokens. Although some techniques mitigate co...

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Hauptverfasser:	Bian, Zhe, Wang, Zhe, Han, Wenqiang, Wang, Kangping
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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